| Literature DB >> 35669849 |
Marzuqa Quraishi1, Shailja Kant Upadhyay1, Anshul Nigam1.
Abstract
The initial strategy to curb the surge of novel coronavirus disease, COVID-19, is prevention and quarantine, which are dependent on early diagnosis. The latest commercial diagnostic methods include AI/ML-based imaging methods and laboratory diagnosis, which differ in their efficiency. The former requires lung imaging and is useful for last stage patients. It was ensured to overcome the limitation of availability of laboratory-based kits, while the latter involves the collection of the suitable sample from an individual (blood sample, nasal or oral swab). Laboratory methods include methods like RT-PCR which is contemporarily contemplated as the benchmark for its quick and efficient SARS-CoV-2 infection detection. Other diagnosis alternatives include Serum Viral Neutralization (SVN) assays involving antigen-antibody reaction with much lower efficiency contrasted to RT-PCR. Apart from these methods, early detection has been key to the treatment of COVID-19, but the lack of sensitive assays to detect low viral titers acts as an impediment. This review presents an overview of detecting COVID-19 with the aid of several diagnostic techniques along with their benefits and limitations.Entities:
Keywords: COVID-19; CRISPR-Cas13a assay; Computed tomography; Diagnostics; ELISA; RT-PCR
Year: 2022 PMID: 35669849 PMCID: PMC9137266 DOI: 10.1007/s40011-022-01375-x
Source DB: PubMed Journal: Proc Natl Acad Sci India Sect B Biol Sci ISSN: 0369-8211
Fig. 1Schematic structure of SARS-CoV, MERS-CoV, and SARS-CoV-2 along with its major structural proteins [3]
Fig. 2An overview of available nCoV diagnostic techniques and their target molecules. * The last row depicts chest imaging radiograms for CoV detection. Abbreviations—SVN: Serum Virus Neutralization, ELISA: Enzyme-Linked Immuno-Sorbent Assay, CRISPR: Clustered Regularly Interspaced Short Palindromic Repeats, SHERLOCK: Specific High-sensitivity Enzymatic Reporter unLOCKing, RT-LAMP: Reverse Transcriptase Loop-mediated Isothermal Amplification, RPA: Recombinase Polymerase Amplification, RT-PCR: Reverse Transcriptase Real-Time Polymerase Chain Reaction, NGS: Next-Generation Sequencing
List of primer and probe sequences for identifying SARS-CoV-2 genes from well-known institutions and organizations worldwide. All the sequences (from left to right) are given in the 5’ to 3’ direction. The forward and reverse primers are represented by F and R, respectively, whereas the probe sequences (P) are always labelled with a quencher (BHQ or TAMRA or BBQ) at the 3’ end and with a reporter dye (FAM) at the 5’ end [2, 3]
| Country (Institute) | Gene target | Sequences |
|---|---|---|
| China (Chinese Center for Disease Control and Prevention) | ORF1ab | F: –CCCTGTGGGTTTTACACTTAA– R: –ACGATTGTGCATCAGCTGA– P: –FAM-CCGTCTGCGGTATGTGGAAAGGTTATGG-BHQ1– |
| N | F: –GGGGAACTTCTCCTGCTAGAAT– R: –CAGACATTTTGCTCTCAAGCTG– P: –FAM-TTGCTGCTGCTTGACAGATT-TAMRA– | |
| France (Institute of Pasteur) | E | F: –ACAGGTACGTTAATAGTTAATAGCGT– R: –ATATTGCAGCAGTACGCACACA– P: –ACACTAGCCATCCTTACTGCGCTTCG-FAM-BHQ1– |
| Japan (National Institute of Infectious Diseases, Department of Virology III) | N | F: –AAATTTTGGGGACCAGGAAC– R: –TGGCAGCTGTGTAGGTCAAC– P: –FAM-ATGTCGCGCATTGGCATGGA-BHQ– |
| Germany (Charité) | RdRp | F2: –GTGARATGGTCATGTGTGGCGG– R1: –CARATGTTAAASACACTATTAGCATA– P2: –FAM-CAGGTGGAACCTCATCAGGAGATGC-BBQ– |
| E | P1: –FAM-CCAGGTGGWACRTCATCMGGTGATGC-BBQ– F1: –ACAGGTACGTTAATAGTTAATAGCGT– R2: –ATATTGCAGCAGTACGCACACA– P1: –FAM-ACACTAGCCATCCTTACTGCGCTTCG-BBQ– | |
| USA (US Center of Disease Control and Prevention) | N | F: –GAC CCC AAA ATC AGC GAA AT– R: –TCT GGT TAC TGC CAG TTG AAT CTG– P: –FAM-ACC CCG CAT TAC GTT TGG TGG ACC-BHQ1– F: –TTA CAA ACA TTG GCC GCA AA– R: –GCG CGA CAT TCC GAA GAA– P: –FAM-ACA ATT TGC CCC CAG CGC TTC AG-BHQ1– F: –GGG AGC CTT GAA TAC ACC AAA A– R: –TGT AGC ACG ATT GCA GCA TTG– P: –FAM-AYC ACA TTG GCA CCC GCA ATC CTG-BHQ1– RP-F: –AGA TTT GGA CCT GCG AGC G– RP-R: –GAG CGG CTG TCT CCA CAA GT– RP-P: –FAM-TTC TGA CCT GAA GGC TCT GCG CG-BHQ1– |
| Hong Kong (Hong Kong University) | ORF1b | F: –TGGGGYTTTACRGGTAACCT– R: –AACRCGCTTAACAAAGCACTC– P: –FAM-TAGTTGTGATGCWATCATGACTAG-TAMRA– |
| N | F: –TAATCAGACAAGGAACTGATTA– R: –CGAAGGTGTGACTTCCATG– P: –FAM-GCAAATTGTGCAATTTGCGG-TAMRA– | |
| Thailand (National Institute of Health) | N | F: –CGTTTGGTGGACCCTCAGAT– R: –CCCCACTGCGTTCTCCATT– |
Investigations evaluating the performance of ELISA in the detection of antibody against SARS-CoV-2 in various countries [4, 5, 16, 17]
| Country | Antigen | COVID-19 Cases [Non-cases] | Antibodies | Days from disease onset | Sensitivity | Specificity |
|---|---|---|---|---|---|---|
| China | Nucleocapsid protein | 238 [120] | Total antibodies, IgG, IgM | 5 | 81.5 | 94.2 to 100 |
| Taiwan | Recombinant spike protein | 34 [20] | IgM, IgG | 9, 11 respectively | 100 | 100 |
| China | Receptor binding domain & Recombinant nucleoprotein | 173 | Total antibodies, IgG, IgM | 15 to 39 | 100, 79.8, 94.3 | 99.1, 99, 98.6 |
| China | Recombinant Nucleocapsid protein | 178 | IgM, IgG | 0 to 5 | 50 to 81 81 to 100 | – |
| China | Recombinant unknown | 63 [35] | IgG, IgM | 1 to 28 | 87.3 | 100 |
| China | Nucleocapsid protein Spike protein | 214 [100] | IgM, IgG | 6 to 10 | 80 82 | 100 |
| China | Recombinant nucleocapsid protein | 208 [285] | IgA, IgM, IgG | 5 to 14 | 92.7, 85.4, 77.9 | 100 |
| China | Nucleoprotein Receptor binding domain | 23 | IgG, IgM | 15 | 94, 88 100, 94 | – |
| Denmark | Receptor binding domain Spike protein subunit-1 | 30 [82] | Total antibodies IgG, IgA | 14 to 20 | 93 67, 93 | 100 96, 93 |
| United Kingdom | Recombinant spike protein | 40 [142] | IgM, IgG | < 28 | 85 | 100 |
| France | Nucleoprotein and Spike ectodomain | 51 [200] | IgG, IgM | 5 to 14 | 65 to 69 | 95 to 100 |
| Germany | Recombinant spike protein Nucleocapsid protein | 17 [13] | IgG | 10 to 18 | 93.8 100 | 95.2 95.7 |
| France | Recombinant spike protein subunit-1 | 15 [20] | IgA, IgG | > 15 | 93.3 | 80 to 100 |
| China | Spike protein Nucleocapsid protein | 47 [300] | IgM, IgG | – | 89.1, 95.7 97.9 | 97, 85.7 99.7 |
| United States | Recombinant spike protein subunit-1 | 30 [56] | IgA, IgG | 3 to 4 | 96.66, 100 | 92.98, 98.24 |
| Australia | Receptor binding domain | 16 [50] | IgA, IgM, IgG1, IgG2, IgG3, IgG4 | 2 to 30 | – | – |
| Netherlands, France & Germany | Spike protein subunit-1 Nucleocapsid protein | 41 [268] | IgG, IgA | Widely distributed (3 to 56) | Not specified | 87 to 100 |
| China | Nucleocapsid protein & Receptor binding domain | 80 [300] | Total antibody, IgG, IgM | 0 to 23 with a median of 5 days | 98.8, 93.8, 93.8 | 100 |
| China | Recombinant nucleocapsid protein & Receptor binding domain | 12 [6] | IgM, IgG | 9 | – | – |
| Netherlands | Spike protein receptor binding domain & subunit-1 | 24 [123] | Total antibody, IgG, IgA, IgM | 14 | 99, 82, 97, 89 | 99, 99, 94, 99 |
| India | Inactivated SARS-CoV-2 | 150 [363] | IgG | 14 | 92.37 | 97.9 |
| Austria | Spike protein receptor binding domain & subunit-1 | 77 [100] | IgA, IgG, IgM, total antibody | 6 to 10 | Presented by timeline | 83, 98, 97, 97 |
| United States | Receptor binding domain | 79 [160] | IgM, IgG | 16 to 20 | 80 | > 95 |
| Germany | Spike protein subunit-1 | 128 [72] | IgG, IgA | 14 | 91 to 94 | 99, 100 |
| United States | Spike protein subunit-1 | [412] | Asymptomatic | 1 to 7 | 97.8 | 98.7 |
| India | Inactivated SARS-CoV-2 Spike protein subunit-1 | 157 [27,843] | IgG | 7 | 92.4 93.8 | 97.9 99.6 |
Fig. 3LAMP schematic performance is depicted [9]. [A] The beginning of LAMP when the forward inner primer binds to the A2 (C) region while the forward primer (A1) binds to A1 (C), displacing the complementary strand. [B] depicts the backward inner primer binding to B2 (C) while the backward primer (B3) binds B3 (C), displacing the complementary strand. [C] shows that a complementary sequence initiates loop formation and lastly, [D] is where the loop structures are formed that permit the use of multiple loop primers
Summary of chief analyzing approaches for COVID-19 emphasizing the patient specimen mandatory for testing and its key features [2, 9, 14, 20, 21, 25, 26]
| Method | Sample | Detected Material | Key Features |
|---|---|---|---|
| Radiograph CT Scan | Chest Scan | Lesions, Patches Lesions, Opacification | Time: Less than 30 min Cost: Inexpensive Accuracy: Lower than a laboratory diagnosis Drawbacks: Inaccurate results and exposure to radiation |
| RT-PCR | Nasopharyngeal swab, Saliva, and Oropharyngeal swab | Viral RNA | Time: 6–8 h Cost: Expensive Accuracy: Highest Drawbacks: Time consuming and cross-reactivity with other viruses (false positives) |
| ELISA | Serum or Biological fluid, Lung tissue | Antibodies or Antigen | Time: Around 2 h Cost: Comparatively cheaper Primary use: Fast diagnosis via antibody-antigen detection Accuracy: Less than RT-PCR Drawbacks: Lower accuracy |
| SVN | Blood | Antibodies | Time: 5 days Cost: High Primary use: Distinguish neutralizing antibodies (convalescent plasma) Accuracy: High Drawbacks: Duration of the diagnosis |
Isothermal amplification RT-LAMP RT-RPA | Blood (finger stick) | Viral RNA | Time: Less than 30 min Cost: High Primary use: Rapid screening Accuracy: Not yet determined Drawbacks: Not suitable for bulk analysis |
| CRISPR/Cas13a | Blood | Viral RNA | Time: In few minutes Cost: Low Primary use: Faster analysis Accuracy: Not yet determined Drawbacks: Requires validation |
| NGS | Blood | Viral RNA | Time: Around one day Cost: Very expensive reagents and machinery Primary use: Genomic profiling of virus Accuracy: High Drawbacks: Cost, mainly used for genetic mapping rather than diagnostic |